RSSI estimation using Bluetooth in smart phones

The “On-Time” communication has become an tremendous implication in the real world scenarios. Moreover the problem of proximity estimation is found to be difficult in a variety of environment. Existing approaches such as Global Positioning System and Wi-Fi triangulations are insufficient to meet the requirements of accuracy and also requires high cost. In this paper, the Bluetooth which is commonly available in all Smartphone's are used to find the proximity over a shorter distance and also this paper provides an estimation model to determine the distance based on the Received Signal Strength Indicator values of the Bluetooth. In order to provide a high accuracy in finding the proximity the Values of atmospheric pressure and light sensor data are also collected and used in the RSSI estimation. For every 30sec these values are updated in the cloud server technology and thus the "On Time" proximity estimation between the devices can be determined based on the RSSI values of Bluetooth in different environments with high accuracy and low cost.